Cafe Database of Montana Latest August 2026 Updated

Skeptical at first, given the price. Loaded into Power BI without a single import warning. Bought it for a United States cafe market-sizing project. No complaints from the field reps.

Met most of what we were looking for. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to handle cafe lead-gen for the United States region. Connect rate could have been higher with cleaner mobile numbers.

Worked for what we needed. Sample matched live data when I spot-checked random rows. Workable, the LinkedIn coverage could be better.

First impression after the download: Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to handle cafe lead-gen for the United States region. Recommended.

Compared this side-by-side with two competitors. The phone column was live for 95% of the rows I tested. Bought it as part of a wider cafe expansion into United States. Saved us hours of manual cleanup.

Wanted a United States list with verified phones. Website URLs were populated for ~80% of rows, far better than the competition. Bought it as part of a wider cafe expansion into United States. Money well spent.

Live-tested 30 random rows before committing. Categorisation was granular enough to segment by sub-vertical without regex. Worth the price.

Bought this for a cold outbound push. Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it as part of a wider cafe expansion into United States. Recommended.

Tried three vendors before this. Website URLs were populated for ~80% of rows, far better than the competition. Minor cleanup needed but nothing major.

Stress-tested it during a client pitch. Address quality is the strongest column in the file. Bought it for our cafe outreach in United States. Will buy again.

Needed it for a fast launch. The phone column was live for 95% of the rows I tested. Bought it as the seed list for a cafe outbound push in United States. Saved us hours of manual cleanup.

First impression after the download: Google rating column came included, which we hadn't expected. Bought it for a United States-focused cafe territory cut. Worth the price.

Picked it up for a one-off campaign. Dedup pass only flagged 1.2% — cleanest dataset I've worked with. Bought it to scope a United States territory in the cafe segment. Recommended.

Replaced an older vendor with this. Website URLs were populated for ~80% of rows, far better than the competition. Bought it for our cafe sales team's United States pipeline. Will be the default vendor for us now.

Picked it up for a one-off campaign. Refresh cadence means the data feels current, not 2-years-old. Bought it for a United States-focused cafe territory cut. Will buy again.

Pulled the trigger after reading the row count. Bounce rate stayed under 4% on a 1,000-contact email send. Bought it to map cafe density across United States. Acceptable trade-off at this price.

Compared this side-by-side with two competitors. Sample matched live data when I spot-checked random rows. Will be the default vendor for us now.

Used it for a focused territory. Address quality is the strongest column in the file. Bought it for cafe prospecting across United States. Will reconsider for the next refresh.

Pulled the trigger after reading the row count. Categorisation was granular enough to segment by sub-vertical without regex. Bought it while planning a cafe campaign in United States. Will be the default vendor for us now.

Honest reaction after a week of use: Categorisation was granular enough to segment by sub-vertical without regex. Worth the price.

First impression after the download: Categorisation was granular enough to segment by sub-vertical without regex. Bought it to scope a United States territory in the cafe segment. Will buy again.

Field-tested by my team. Email coverage is the highest I've seen for United States B2B data. Bought it to scope a United States territory in the cafe segment. Will buy again.

Saved me a scraping project I'd been dreading. Connect rate jumped noticeably once we filtered by category. Genuinely useful.

Honest reaction after a week of use: Hours and GPS were the missing pieces in my last vendor's file — this has both. Bought it to scope a United States territory in the cafe segment. Minor cleanup needed but nothing major.

Compared this side-by-side with two competitors. Refresh cadence means the data feels current, not 2-years-old. Bought it to support a cafe rollout in United States. Genuinely useful.

Field-tested by my team. Website URLs were populated for ~80% of rows, far better than the competition. Bought it to underpin a United States cafe campaign. Minor cleanup needed but nothing major.

Tried three vendors before this. ROAS improved roughly 30% versus the lookalike audience we ran before. Bought it to handle cafe lead-gen for the United States region. Acceptable trade-off at this price.